The research aimed to study the food knowledge study the food consumption behavior and study the relation between the food knowledge and food consumption behavior correlation of the overweight of undergraduate students Home Economics Technology Rajamanggala University of Technology Phra nakhon. The samples of this study were 171 overweight of undergraduate students Bacheloes Degree. The Purposive Sampling were used. A tests and questionnaires were used to gather the data. The data were analyzed using frequencypercentagemeanstandard deviation and Pearson Product Moment Correlation. The study found that : 1. 60.3 percent of the sample had the knowledge of food at good level. 2. The sample had food consumption behaveior at moderate level. 3. Knowledge of food and food consumption behavior were not related to the overweight.

The purposes of this research were to study the canonical relationship between some factors and motivation on producing that relative contribute to academic papers and to study the canonical weights of some factory motivation on producing academic papers. The Sample were the 222 instructors in the office Rajamangala University of technology Phra Nakhon who work during the first semester of Academic year 2005. The stratified random sampling technique was used for selecting the sample. The instruments were the questionnaire considering the salary work load working experience Attitudes toward producing academic papers Self development Internal control Academic ability Motivation on advancement Motivation on recognition and Motivation on environment of producing academic papers. The findings were as follow: 1. The canonical correlation between Salary Work load Working experience Attitudes toward producing academic papers Self development Internal control Academic ability Motivation on advancement Motivation on recognition and Motivation on environment of producing academic papers were .510 .231 and .134 respectively. The first canonical function was Statistically Significant at .05 level. The second and third canonical function were Statistically nonsignificant. 2. The canonical weights for Attitudes toward producing academic papersself development and Internal Control relative contributed to Motivation on advancement Motivation on recognition and Motivation on environment of producing academic papers in the first canonical function.

This survey research aimed to (1) compare English for Communication Arts learning by Com. Arts students’ characteristics and (2) study the relationship between the knowledge attitude and English for Communication Arts learning. The-sampling consisted of 89 Accond Communication Arts program students The data were obtained from a questionnaire and analyzed by using statistics i.e. frequency percentage mean and standard deviation t-test One-way ANOVA LSD (Least Significant Difference) and correlation. The findings are as follows: (1) the difference of students’ characteristics significantly affect English for Communication Arts learning at 0.05. (2) every knowledge skill was positively correlated with the English for Communication Arts learning. And also (3) the attitude on English for Communication Arts learning was positively correlated with the English for communication arts learning. It was recommended here that the teachers should try to change students’ attitude that is English learning is not harder than their ability.

Accurate efficient and robust travel time prediction is crucial to the development of advanced traveler information systems for providing route guidance information. To achieve this goal this paper proposed a travel time prediction through the matching of the current speed interval pattern to that in a historical database. Speed intervals instead of speeds are considered in this study to simplify the structure of matching patterns for improving matching efficiency. In this study speed interval patterns are defined by sets of link speed intervals that are either spatially or temporarily correlated with the link considered. With the speed interval patterns the algorithm is developed for searching the historical pattern(s) that is/are the closest match with the current one. Then link speeds from these matched patterns are combined for travel time prediction. By using the GPS probe taxi data which the collected speeds are aggregated in every 5 minutes the proposed travel time prediction system is implemented in Bangkok. With the speed data from probe taxi this paper has chosen four links/paths with different geometric and flow characteristics for testing the performance of the proposed travel time prediction system. From these tests it is found that the optimal speed interval pattern should include: 1) speeds of the studied link within three preceding time intervals and; 2) speeds of links in the first connection level of the studied link. Also while the computational time is capable of real-time application the proposed prediction algorithm is more accurate under uninterrupted flow conditions.

The objectives of this research are to estimate the morbidity rate of Dengue Hemorrhagic fever in each province of Thailand and to construct the map of the Dengue Hemorrhagic fever. A Bayesian model is used for the data analysis. The data are mathematical spatial correlated in the form of the conditional autoregressive model (CAR). The secondary data were collected at a provincial level. They were the number of Dengue Hemorrhagic fever patients rainfall and average temperature. The research found that the rainfall (RR = 1.0026) and the average temperature (RR = 1.2681) had influence on the morbidity of Dengue Hemorrhagic fever. The season during July to September had more influence on the morbidity of Dengue Hemorrhagic fever than during the other seasons. The top 5 highest morbidity rates per 100000 population were Chiangmai in October (1288.00) July (1096.00) September (804.30) Surin in October (772.30) and Nakhon Si Thammarat in August (666.20). The disease map constructed for showing the distribution of the disease is easy to understand and useful for public health.